基于泛在电力物联网技术的配电网故障诊断方法优化  

Optimization of Fault Diagnosis Method for Distribution Network Based on Ubiquitous Power Internet of Things

作　　者：李西明 赵斌[1] 杨一帆[1] 李祎 LI Ximing;ZHAO Bin;YANG Yifan;LI Yi(State Grid Shenyang Electric Power Supply Company,Shenyang 110036,China)

机构地区：[1]国网沈阳供电公司,沈阳110036

出　　处：《内蒙古电力技术》2020年第1期63-65,I0002,共4页Inner Mongolia Electric Power

摘　　要：现有的泛在电力物联网下的配电网故障诊断方法属于灾后处理方法,在极端恶劣天气大范围影响配电网稳定运行情况下,不能满足配电网发展需求。为此从泛在电力物联网的感知层、网络层、平台层、应用层4个方面对配电网故障诊断方法进行了优化,实现在极端恶劣天气下对配电网故障进行预判,进而能够主动防御,保证配电网的安全稳定运行。The existing generalized fault diagnosis method of the distribution network based on the ubiquitous power Internet of things belongs to the post disaster treatment, which cannot meet the needs of the development of distribution network when the stable operation of the distribution network is affected in the extreme bad weather in a large range. Therefore, the fault diagnosis method of distribution network is optimized from the aspects such as perception layer, network layer,platform layer and application layer of the ubiquitous power Internet of things in order to realize the prediction of distribution network fault in extremely bad weather and be able to defend actively, through which the safe and stable operation of the distribution network is ensured.

关 键 词：泛在电力物联网 配电网 故障诊断 极端恶劣天气 主动防御 

分 类 号：TM712[电气工程—电力系统及自动化] TN915[电子电信—通信与信息系统]